Sentence examples for proportion errors from inspiring English sources

Influence of label proportion errors on classification accuracy for the two SAR images is presented in Fig. 7.

Fig. 7 Influence of label proportion errors on classification accuracy using GL+LpcSVM for SAR images of Tianjin and Rosenheim areas.

Based on our grid labeling activities, we found the standard deviation value of label proportion errors in grid labeling is basically around σ=0.05, which means the value of label proportion errors falls in the confidence interval [-0.15, 0.15] with the probability of 99.7%, based on the three-sigma rule mentioned above.

In order to estimate the standard deviation value of actual label proportion errors, grid labeling is performed on nearly 4000 cell regions from the two full-scene TerraSAR-X images used in the experiment.

At first, however, transitions between 2000 and 2015 periods (with the proportion error of 0.15) were undertaken using Markov transition estimator in the IDRISI module.

Alzheimer's disease patients corrected the lowest proportion of errors and the proportion of errors corrected in these patients was smaller than in FTD, SD and PA patients (P < 0.05).

The data collected were viewed in terms of proportion of errors, patient outcomes arising from the error and types of error.

We therefore used the FDR principle that does not control the experiment-wise error rate but estimates the proportion of errors among the rejected null hypotheses.

A significant proportion of errors suggest skill and knowledge deficiencies, with errors and severity reducing as clinical experience increases.

In line with Experiment 1, we examined whether individual differences in drinking variables (i.e., weekly alcohol consumption, AUDIT, or craving) were associated with alcohol-specific inhibition (i.e., proportion of errors on alcohol trials minus proportion of errors on neutral trials) or overall inhibition.

A small proportion of errors will lead to serious patient outcomes and even minor errors can leave long-lasting effects on the nurses involved.